Results 111 to 120 of about 168,797 (129)

Improved Performance Control of Cloud-Native Microservices in the Edge with Proactive Autoscaling

NOMS 2025-2025 IEEE Network Operations and Management Symposium
Balázs Sonkoly
exaly   +2 more sources

Optimizing resource allocation in cloud-native applications through proactive autoscaling with the InformerAutoScale model

Journal of Supercomputing
Pradeepika Verma, Akram Bennour, Anshul Verma   +2 more
exaly   +3 more sources

Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration

Journal of Grid Computing
Performance and cost-effectiveness are sustained by efficient management of resources in cloud computing. Current autoscaling approaches, when trying to balance between the consumption of resources and QoS requirements, usually fall short and end up ...
Robert Lovas, József Kovacs
exaly   +2 more sources

A Proactive Q-Learning Approach for Autoscaling Heterogeneous Cloud Servers

2018 14th European Dependable Computing Conference (EDCC), 2018
Cloud providers offer different physical or virtual machine (VM) types that have different computational power and cost. Choosing the right configuration in a such heterogeneous environment able to sustain a workload while minimising costs is a challenging key aspect.
openaire   +1 more source

Proactive Horizontal Pod Autoscaling in Kubernetes using Bi-LSTM

2023 IEEE International Conference on Contemporary Computing and Communications (InC4), 2023
Soham Kakade, Gurutej Abbigeri, Om Prabhu, Akash Dalwayi, Narayan G, Somashekar Patil Patil, Bhagya Sunag   +6 more
openaire   +1 more source

Elastic Large Language Model Inference: Demand-Driven Autoscaling and Proactive Cache Pre-warming

Deploying Large Language Models (LLMs) in disaggregated, cloud-native environments such as Kubernetes requires dynamic and elastic autoscaling to accommodate variable demand and control computational costs. However, this approach faces two interrelated challenges.
openaire   +1 more source

AI-Based Proactive Autoscaling Technique for Web Applications in Kubernetes

2026 IEEE 18th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering (TCSET)
Halyna Beshley, Sviatoslav Vilhutskyi, Mykola Beshley, Michal Greguš   +3 more
openaire   +1 more source

Graph Neural Network-Based SLO-Aware Proactive Resource Autoscaling Framework for Microservices

IEEE/ACM Transactions on Networking
Jinwoo Park, Byungkwon Choi, Chunghan Lee, Dongsu Han   +3 more
openaire   +2 more sources

RobustScaler: QoS-Aware Autoscaling for Complex Workloads

2022
Qingsong Wen
exaly  

HyPA: Hybrid Horizontal Pod Autoscaling with Automated Model Updates

2023
Johannes Zerwas, Wolfgang Kellerer
exaly